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08/28/2023
360-Degree Panorama Generation from Few Unregistered NFoV Images
360^∘ panoramas are extensively utilized as environmental light sources ...
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05/22/2023
Statistical Guarantees of Group-Invariant GANs
Group-invariant generative adversarial networks (GANs) are a type of GAN...
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03/07/2023
On the Implicit Bias of Linear Equivariant Steerable Networks: Margin, Generalization, and Their Equivalence to Data Augmentation
We study the implicit bias of gradient flow on linear equivariant steera...
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02/03/2023
Sample Complexity of Probability Divergences under Group Symmetry
We rigorously quantify the improvement in the sample complexity of varia...
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06/14/2022
SpecNet2: Orthogonalization-free spectral embedding by neural networks
Spectral methods which represent data points by eigenvectors of kernel m...
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03/19/2022
Representation-Agnostic Shape Fields
3D shape analysis has been widely explored in the era of deep learning. ...
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12/03/2021
Disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application
Analysis of signals with oscillatory modes with crossover instantaneous ...
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07/05/2021
An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing
Background: Static Application Security Testing (SAST) tools purport to ...
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03/31/2020
When Ramanujan meets time-frequency analysis in complicated time series analysis
To handle time series with complicated oscillatory structure, we propose...
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02/25/2020
RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences
MB-DPOP is an important complete algorithm for solving Distributed Const...
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11/28/2019
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-based Inference
Search and inference are two main strategies for optimally solving Distr...
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06/17/2019
A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A Branch-and-Bound Technique
Belief propagation approaches, such as Max-Sum and its variants, are a k...
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05/28/2019
AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems
Asymmetric distributed constraint optimization problems (ADCOPs) are an ...
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02/16/2019
PT-ISABB: A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems
Asymmetric Distributed Constraint Optimization Problems (ADCOPs) have em...
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12/11/2017